N-Glycoprotein SRMAtlas A RESOURCE OF MASS SPECTROMETRIC ASSAYS FOR N-GLYCOSITES ENABLING CONSISTENT AND MULTIPLEXED PROTEIN QUANTIFICATION FOR CLINICAL APPLICATIONS

被引:43
作者
Huettenhain, Ruth [1 ,2 ]
Surinova, Silvia [1 ,2 ]
Ossola, Reto [3 ]
Sun, Zhi [4 ]
Campbell, David [5 ]
Cerciello, Ferdinando [1 ,5 ,6 ,7 ]
Schiess, Ralph [8 ]
Bausch-Fluck, Damaris [1 ,6 ,7 ]
Rosenberger, George [1 ]
Chen, Jingchung [9 ]
Rinner, Oliver [3 ]
Kusebauch, Ulrike [4 ]
Hajduch, Marian [10 ]
Moritz, Robert L. [4 ]
Wollscheid, Bernd [1 ,6 ,7 ]
Aebersold, Ruedi [1 ,2 ,11 ]
机构
[1] ETH, Dept Biol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland
[2] Competence Ctr Syst Physiol & Metab Dis, CH-8093 Zurich, Switzerland
[3] Biognosys AG, CH-8952 Schlieren, Switzerland
[4] Inst Syst Biol, Seattle, WA 98109 USA
[5] Univ Zurich Hosp, Clin Oncol, CH-8091 Zurich, Switzerland
[6] ETH, NCCR Neuro Ctr Prote, CH-8057 Zurich, Switzerland
[7] Univ Zurich, CH-8057 Zurich, Switzerland
[8] ProteoMediX AG, CH-8952 Schlieren, Switzerland
[9] Ohio State Univ, Wexner Med Ctr, Columbus, OH 43210 USA
[10] Palacky Univ, Inst Mol & Translat Med, Fac Med & Dent, Olomouc 77126, Czech Republic
[11] Univ Zurich, Fac Sci, CH-8057 Zurich, Switzerland
基金
瑞士国家科学基金会; 欧盟第七框架计划; 美国国家科学基金会; 美国国家卫生研究院; 欧洲研究理事会;
关键词
HUMAN PLASMA PROTEOME; ACUTE-PHASE PROTEINS; PANCREATIC-CANCER; CELL-SURFACE; QUANTITATIVE PROTEOMICS; COLORECTAL-CANCER; MEMBRANE SUPPORTS; APOLIPOPROTEIN-B; HUMAN BREAST; LUNG-CANCER;
D O I
10.1074/mcp.O112.026617
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Protein biomarkers have the potential to transform medicine as they are clinically used to diagnose diseases, stratify patients, and follow disease states. Even though a large number of potential biomarkers have been proposed over the past few years, almost none of them have been implemented so far in the clinic. One of the reasons for this limited success is the lack of technologies to validate proposed biomarker candidates in larger patient cohorts. This limitation could be alleviated by the use of antibody-independent validation methods such as selected reaction monitoring (SRM). Similar to measurements based on affinity reagents, SRM-based targeted mass spectrometry also requires the generation of definitive assays for each targeted analyte. Here, we present a library of SRM assays for 5568 N-glycosites enabling the multiplexed evaluation of clinically relevant N-glycoproteins as biomarker candidates. We demonstrate that this resource can be utilized to select SRM assay sets for cancer-associated N-glycoproteins for their subsequent multiplexed and consistent quantification in 120 human plasma samples. We show that N-glycoproteins spanning 5 orders of magnitude in abundance can be quantified and that previously reported abundance differences in various cancer types can be recapitulated. Together, the established N-glycoprotein SRMAtlas resource facilitates parallel, efficient, consistent, and sensitive evaluation of proposed biomarker candidates in large clinical sample cohorts. Molecular & Cellular Proteomics 12: 10.1074/mcp.O112.026617, 1005-1016, 2013.
引用
收藏
页码:1005 / 1016
页数:12
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